Bernie Sanders’ $7 Trillion AI Grab: Nationalizing Innovation in the Name of “The People”
Grok’s opinion on Bernie Sanders’ $7 trillion AI fund plan: why critics call it confiscatory, anti-innovation, and a threat to US tech leadership.
Grok’s opinion on Bernie Sanders’ $7 trillion AI fund plan: why critics call it confiscatory, anti-innovation, and a threat to US tech leadership.
Generative AI in software development raises fast-evolving legal risks around copyright, licensing, trade secrets, ownership, and compliance.
A critical review of SEC 10-K cyber disclosures, arguing they offer limited real risk insight and often prioritize compliance over transparency.
Explore a concise review of Pope Leo XIV’s Magnifica Humanitas on AI, human dignity, ethics, and Catholic Social Teaching.
A sweeping review of *Magnifica Humanitas*, exploring how the encyclical frames AI as a moral, social, and civilizational choice.
How billionaire media owners shape news: evidence on bias, ownership concentration, editorial influence, and the risks to democratic pluralism.
ECB urges eurozone banks to boost cybersecurity as AI threats rise, exposing Europe’s weak tech ecosystem and dependence on foreign innovation.
AI’s future hinges on cheaper intelligence
Tech CEOs chase AI profits but dodge safety questions.
Reuters reports a coming Trump AI order as urgency grows around oversight, security risks, and the need for real guardrails on powerful systems.
Learn how to reduce false positives in AI-generated vulnerability reports with verification, prioritization, and better bug reporting practices.
Why “move fast and break things” fails in the AI era: a sharp look at AI risks, weak self-regulation, and the case for adaptive governance.
AI safety, regulation, and hidden risks: why lawmakers and IT leaders can’t trust markets alone to manage the dangers of modern AI.
Explore how AI companies handle “rogue” incidents through official disclosures, safety reports, and evolving transparency in the era of smarter machines.
Gerty (LeChat) analyses new research exposing how AI models silently inherit hidden values and biases, revealing critical challenges for AI safety and governance.
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